Senior Data Solutions Engineer

2 weeks ago

Hyderabad, Telangana, India beBeeEngineer Full time ₹ 15,00,000 - ₹ 21,00,000
About the Role">

We are seeking a highly skilled and experienced data engineer with deep expertise in Python, PySpark, and Palantir Foundry to join our growing engineering team.

As a data engineer, you will be instrumental in building scalable, secure, and high-performance data solutions that power mission-critical analytics and front-end applications across our organization.

">Key Responsibilities:
  1. ">
  2. Design and implement scalable, fault-tolerant ETL pipelines using Python and PySpark within the Palantir Foundry platform.
  3. Transform raw data from multiple sources into curated, enriched, and ontology-compliant datasets for analytical and operational use cases.
  4. Develop and manage Foundry Ontology Objects, ensuring consistency and accuracy across interconnected datasets.
Application Development in Palantir Foundry
  1. ">
  2. Build and maintain operational and analytical applications using Foundry's internal tools: Workshop, Map, and Slate.
  3. Work closely with subject matter experts to translate business logic into ontology models and intuitive user interfaces.
  4. Continuously improve application performance, data accuracy, and UX design as requirements evolve.
Platform Engineering & DevOps Integration
  1. ">
  2. Use modern CI/CD pipelines including Git/Bitbucket, Jenkins/CodeBuild, and CodePipeline for automated deployment and testing.
  3. Set up and monitor platform alerts, health checks, and observability dashboards to ensure application reliability and uptime.
Collaboration & Agile Execution
  1. ">
  2. Actively participate in all Agile ceremonies including daily stand-ups, sprint planning, backlog refinement, and retrospectives.
  3. Collaborate with cross-functional teams including data scientists, business analysts, platform engineers, and product owners.
Data Governance & Stakeholder Communication
  1. ">
  2. Develop and maintain comprehensive documentation for data models, transformation logic, application components, and user guides.
  3. Ensure all data engineering solutions are compliant with governance, security, and audit standards.
  4. Maintain a well-organized data catalog with lineage and metadata annotations.
Required Skills & Qualifications
  • ">
  • 5+ years of hands-on experience in data engineering, software development, or data platform operations.
  • Strong programming skills in Python and PySpark, with demonstrated ability to write modular, testable, and reusable code.
  • Advanced knowledge of SQL for data manipulation, analytics, and performance tuning.
Benefits
  • ">
  • Opportunity to work on high-profile projects and collaborate with cross-functional teams.
  • Chance to develop and grow your skills in data engineering and software development.
  • Professional growth opportunities through training and mentorship.
Others
  • ">
  • Excellent communication and collaboration skills; ability to convey complex data problems and solutions to business and technical audiences alike.
  • Solid understanding of data modeling, metadata management, and data lineage.
  • Strong debugging and performance profiling skills across the data stack.

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